Healthcare Economics-Vital Threat Detection System Efficiency: A Business Process Analysis Methodology by Salma Elhag, Amal Alghamdi, Amal Alahmari, Abeer Alharbi

“…After realizing and analyzing the data of KPI extracted from the “SafePulse” process, the IoT solution emerges as an effective and adaptable solution for addressing the challenges of vital sign monitoring; and this answers the main research question of this work; which is; how a business process methodology is used to analyze, implement and monitor continuous improvements of the process of continuous monitoring of vital threat signs.…”
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PcBD: A Novel Point Cloud Processing Flow for Boundary Detecting and De-Noising by Shuyu Sun, Jianqiang Huang, Shuai Zhao, Tengchao Huang

“…In target detection tasks equipped with depth sensors, it is crucial to adopt the point cloud pretreatment process, which is directly related to the quality of the obtained three-dimensional model of the target. …”
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Detection of Chronic Wasting Disease Prions in Raw, Processed, and Cooked Elk Meat, Texas, USA by Rebeca Benavente, Fraser Brydon, Francisca Bravo-Risi, Paulina Soto, J. Hunter Reed, Mitch Lockwood, Glenn Telling, Marcelo A. Barria, Rodrigo Morales

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Resilient fault detection for industrial process using adaptive Fisher discriminant analysis with wavelet denoising by Faizan E. Mustafa, Ali M. El-Rifaie, M.M.R. Ahmed, Fahmi Elsayed, Hasnain Ahmad, Ijaz Ahmed

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A novel data processing approach to detect fraudulent insurance claims for physical damage to cars by Ahmet Yücel

“…Some automobile insurance companies use computerized auto-detection systems to expedite claims payment decisions for insured vehicles. …”
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Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques by Althaf Ali A, Rama Devi K, Syed Siraj Ahmed N, Ramchandran P, Parvathi S

“…The proliferation of malicious webpages presents a growing threat to online security, necessitating advanced detection methods to mitigate risks. This paper proposes a novel approach that integrates Natural Language Processing (NLP) techniques with an ensemble of machine learning models for the proactive detection of malicious web content. …”
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Aqueous Ammonia Sensor with Neuromorphic Detection by Kateryna Vyshniakova, Mohammad Javad Mirshojaeian Hosseini, Huiwen Bai, Masoome Fatahi, Victor Marco Rocha Malacco, Shawn S Donkin, Richard M Voyles, Robert A. Nawrocki

“…Abstract A hybrid inorganic–organic neuromorphic sensor utilizing a thin film zinc oxide (ZnO) detector with organic neuromorphic pre‐processing is developed to quantify ammonia in aqueous environments, including biological analytes. …”
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RESEARCH OF THE TEXT PROCESSING METHODS IN ORGANIZATION OF ELECTRONIC STORAGES OF INFORMATION OBJECTS by Olesia Barkovska, Viktor Khomych, Oleksandr Nastenko

“…The following results were obtained: in the course of the research fulfillment the generalized model of the scanned documents classification system that consist of image processing unit and text processing unit that include unit of the scanned image previous processing; text detection unit; previous text processing; compiling of the frequency dictionary; text proximity detection was offered. …”
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Transitivity Analysis in Detecting Fraudulent Language in Email: Forensic Linguistics Approach by Yudia Rifki, Sawirman Sawirman, Fajri Usman

“… This research discusses the analysis of transitivity in detecting the fraudulent language in email fraud. The research purposes are (1) to identify the process types of transitivity systems in clauses used in email fraud, and (2) to explain how the fraudulent language is identified by using the transitivity system. …”
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Effect of spontaneous activity on stimulus detection in a simple neuronal model by Marie Levakova

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Signal Processing and Feature Extraction in Markerless Telerehabilitation by Silvana G. Dellepiane, Federica Ferraro, Camilla Baffigo, Marina Simonini

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Multimodal anomaly detection in complex environments using video and audio fusion by Yuanyuan Wang, Yijie Zhao, Yanhua Huo, Yiping Lu

“…Abstract Due to complex environmental conditions and varying noise levels, traditional models are limited in their effectiveness for detecting anomalies in video sequences. Aiming at the challenges of accuracy, robustness, and real-time processing requirements in the field of image and video processing, this study proposes an anomaly detection and recognition algorithm for video image data based on deep learning. …”
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Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar by Chi Ma, Samsil Arefin Mozumder, Md Mahbub Hossen, Manman Shao, Yuqiang Jiang

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Advances in HVDC Systems: Aspects, Principles, and a Comprehensive Review of Signal Processing Techniques for Fault Detection by Leyla Zafari, Yuan Liu, Abhisek Ukil, Nirmal-Kumar C. Nair

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Multidisciplinary teams involved: detection of drug-related problems through continuity of care by Elena Yaiza Romero-Ventosa, Marisol Samartín-Ucha, Alicia Martín-Vila, María Lucía Martínez-Sánchez, Isabel Rey Gómez-Serranillos, Guadalupe Pineiro-Corrales

“…Objective: To quantify Drug-Related problems (DRPs) by establishing a Strategic Continuity of Care Program (e-Conecta- Concilia Program; e-CC) focused on the drug therapy of patients within an Integrated Management Structure, in order to guarantee the therapeutical efficiency, safety and traceability of patients. …”
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Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes: A Hybrid Approach Using Clustering and Isolation Forest by Antonio Herreros-Martínez, Rafael Magdalena-Benedicto, Joan Vila-Francés, Antonio José Serrano-López, Sonia Pérez-Díaz, José Javier Martínez-Herráiz

“…This methodology aims to empower organisations to detect anomalies more effectively and streamline the audit process.…”
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Detection of zero-dynamics attacks in industrial networked control systems: comparative analysis of passive and active approaches by Ayesha Ayub, Muhammad Asim khan, Zuhairiah Zainal Abidin, Naglaa F. Soliman, Hamza Ahmad

Subjects: “…ZDA detection…”
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ECHO: enhanced communication for hearing impaired in online video podcasts by Gouthami Godhala, Vijayasree Asam, Samriddha Sanyal

Subjects: “…Video processing…”
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Text similarity detection method based on NLP by Xiaoli DAI, Shifeng LIU, Daqing GONG

“…Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems, a text-oriented similarity detection method was proposed.First, analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second, the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.…”
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Text similarity detection method based on NLP by Xiaoli DAI, Shifeng LIU, Daqing GONG

“…Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems, a text-oriented similarity detection method was proposed.First, analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second, the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.…”
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